Programming 1 - Scikit-Learn

Goal

• Learn the topics of model evaluation: data visualization, feature scaling, prediction, and model evaluation

• Use the IRIS dataset as an example to practice the Scikit-Learn.

• Use the k-nearest neighbor as an example to practice the Scikit-Learn.

Readings

• Chapters 4 Supervised Learning in Practice-the First Application Using Scikit-Learn, Machine Learning with Python - Theory and Implementation

Instructions

• Read the description of the reading. Practice all the Python codes in the reading

• Answer the exercise 2 of the reading

Report: a separate and single web page that you

• Write the goal of this assignment in the beginning of your report.

• Paste the Python codes of the reading. Upload code output results into your report web page. Explain the results of the output results.

• Paste the Python codes of exercise 2 you write. Upload code output results into your report web page. Explain the results of the output results.

• Give references to this assignment (teacher's readings, your readings)

Submit the web address of your web page to Microsoft Teams.